thetaOwl

MU

Micron Technology, Inc.Close $762.10EOD only
Max Pain
$700.00
Next expiry May 22, 2026
Expected Move
±$27.20
3.6% from close
Price Gap
-62.10
Distance to max pain
IV Rank
58
Middle-high premium
P/C OI
1.30
Slightly put-heavy
Consensus
7.0/10
Bullish tilt
Published snapshot: May 21, 2026 close
End-of-day snapshot

This page reflects MU options positioning from the latest published market-close snapshot. Intraday price and contract changes are not displayed.

Published Snapshot
May 21, 2026 close
MU AI Consensus Report
Analysis based on market close April 6, 2026

Historical consensus-supported lens with full content, report chain context, and metric rail.

You are viewing an older report from April 6, 2026. A newer ai consensus report is available for May 21, 2026.

View latest report
Conviction
7.0

out of 10

7.0 not 8.0 because high IV introduces volatility risk that could undermine the pin, despite strong alignment from GEX and flow.

Where Perspectives Agree

Bullish pin to $400-$415 — GEX pinning, bullish flow, and spot above max pain all reinforce upside magnet.

Where They Diverge

High IV (78.5%) suggests volatility risk and potential crush, which conflicts with the bullish pin thesis by increasing downside risk and reducing premium attractiveness.

Top Trade
via theta

Sell Apr 24 $370/$360 put spread for credit — defined risk, profits from pin, leverages bullish flow.

Key Risk

Break below $300 flips gamma long, breaking the pin and triggering downside acceleration to lower support.

How to Use These Reports
This ai consensus reflects the market close on April 6, 2026.
What the reports do

Each report translates the same market-close options snapshot into a specific lens such as directional bias, premium-selling posture, flow quality, or earnings setup.

How traders use them

Reports are most useful for narrowing the playbook, surfacing entry and risk context, and deciding which raw data page to inspect next.

What to remember

These are interpretation layers, not execution guarantees. Validate the setup against chain liquidity, expected move, and exposure before sizing risk.

If the report conviction and the raw data disagree, slow down and resolve the mismatch before sizing risk.